ABSTRACT
We report the sequences of two West Nile virus (WNV) strains (lineages 1 and 2) developed by the Paul-Ehrlich-Institut as reference materials. The materials are calibrated against the 1st World Health Organization WNV RNA International Standard and are intended for use in nucleic acid technology assays supporting transfusion safety.
ANNOUNCEMENT
West Nile virus (WNV) is a Flavivirus (family Flaviviridae) transmitted by Culex mosquitoes and causing infections in birds, horses, and humans (1). First isolated from a Ugandan patient in 1937 (2), WNV subsequently spread within Africa, Asia, the Middle East, North America, and Europe (3). Typically, WNV infections are asymptomatic; however, some individuals develop West Nile fever and occasionally neuroinvasive disease (4). With the expansion of WNV in Europe, including Germany (5), transmission by blood transfusion is a concern, and implementation of nucleic acid amplification technique (NAT)-based donor screening is necessary once human cases become endemic and for travelers returning from affected areas (6). To support testing by transfusion services and NAT assay developers, reference materials were prepared by the Paul-Ehrlich-Institut for WNV lineages 1 (NY99; flamingo) and 2 (Héja; goshawk), reflecting circulating European clades (7, 8). The isolates were passaged once in Vero E6 cells and heat-inactivated as previously described (9); no infectivity was detected following heat inactivation. Heat-inactivated stocks were diluted in human plasma, dispensed into vials, and lyophilized; batches of reference material prepared from NY99 and Héja were designated 13299/19 and 13300/19, respectively. RNA was extracted using the ExiPrep Dx viral RNA kit (Bioneer Corp., Daejeon, Republic of Korea) (10). Libraries were prepared using a modified version of the “not not so random priming” method (11). Following cDNA synthesis, barcoded Illumina libraries were prepared by PCR amplification using NEBNext Ultra II master mix (New England Biolabs, Frankfurt, Germany); amplicons were recovered and sequenced using a MiSeq instrument with the paired-end (2 × 300-bp) setting as previously described (12).
Majority consensus sequences were generated from the processed and mapped reads based on the reference sequences (13); default parameters were applied unless otherwise stated. The sequencing statistics are shown in Table 1. Fastp v0.20.0 (14) was used for quality trimming and adapter removal. After quality control, the reads were mapped using BWA-MEM v0.7.12-r1039 (15). Host-derived sequences (Chlorocebus sabeus; GenBank accession number GCA_000409795.2) were removed by specifying the minimum seed length (-k 31). Unmapped reads were extracted using SAMtools v1.7 (16) and bamtofastq v2.17.0 (17) and subsequently mapped to the WNV reference genomes submitted under GenBank accession numbers AF196835.2 (lineage 1) or DQ116961.1 (lineage 2). Host-free alignments were deduplicated using MarkDuplicates in the Picard toolkit (http://broadinstitute.github.io/picard) and left-aligned using LeftAlignIndels in GATK v4.0 (18) Variant calling was performed using LoFreq v2.1.3 (19). The sequence determined for isolate NY99 was 11,025 bp long, with seven nucleotide changes (all synonymous) compared to the prototype (AF196835.2). The Héja isolate, 11,028 bp long, is closely related to viruses isolated from goshawks in Central Europe, confirming its position within the Central European lineage 2 clade. Héja showed 27 nucleotide differences to DQ116961.1 (>99% identity), resulting in 6 amino acid changes (3 nonsynonymous). The Héja virus has not always been adequately detected in external quality assessment programs (8); therefore, knowledge of the sequence is important for improving assays to ensure detection of similar viruses going forward.
TABLE 1.
West Nile Virus NY99 and Héja sequencing statistics
Parametera | Data for isolate: |
|
---|---|---|
NY99 | Héja | |
GenBank accession no. | MZ605381 | MZ605382 |
BioProject accession no. | PRJNA759393 | PRJNA759393 |
WNV lineage | 1 | 2 |
PEI reference material code no.b | 13299/19 | 13300/19 |
Length (bp) | 11,025 | 11,028 |
Potency | 6.25 log10 IU/ml | 5.88 log10 IU/ml |
No. of reads | ||
Raw reads | 2,624,302 | 3,084,270 |
After QC | 2,530,266 | 2,979,944 |
After removal of host sequences | 461,663 | 447,665 |
Total length of reads (bp) | 94,234,259 | 89,678,647 |
Avg read length (bp) | 204 | 200 |
No. of mapped reads | 350,568 | 351,140 |
Proportion mapped | ||
% of raw reads | 13.4 | 11.4 |
% of QC reads | 13.9 | 11.8 |
% of reads after removal of host sequences | 75.9 | 78.4 |
Mean depth of coverage (×) | 6,522 | 6,497 |
QC, quality control.
PEI, Paul-Ehrlich-Institut.
Both reference materials are calibrated against the World Health Organization International Standard for WNV for NAT-based assays (20) and are considered “secondary standards” (21).
Data availability.
The sequences of strains NY99 and Héja reported here have been deposited in GenBank under the accession numbers MZ605381 and MZ605382, respectively. The sequencing read data have been deposited in the NCBI SRA under accession number PRJNA759393. The reference materials are available from the Paul-Ehrlich-Institut (https://www.pei.de).
ACKNOWLEDGMENT
The WNV isolates NY99 and Héja were kindly provided by the Bernhard Nocht Institute for Tropical Medicine.
Contributor Information
Julia Kreß, Email: Julia.Kress@pei.de.
Sally A. Baylis, Email: Sally.Baylis@pei.de.
Jelle Matthijnssens, KU Leuven.
REFERENCES
- 1.Habarugira G, Suen WW, Hobson-Peters J, Hall RA, Bielefeldt-Ohmann H. 2020. West Nile virus: an update on pathobiology, epidemiology, diagnostics, control and “One Health” implications. Pathogens 9:589. doi: 10.3390/pathogens9070589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Smithburn KC, Hughes TP, Burke AW, Paul JH. 1940. A neurotropic virus isolated from the blood of a native of Uganda. Am J Trop Med Hyg s1-20:471–492. doi: 10.4269/ajtmh.1940.s1-20.471. [DOI] [Google Scholar]
- 3.Chancey C, Grinev A, Volkova E, Rios M. 2015. The global ecology and epidemiology of West Nile virus. Biomed Res Int 2015:376230. doi: 10.1155/2015/376230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bai F, Thompson EA, Vig PJS, Leis AA. 2019. Current understanding of West Nile virus clinical manifestations, immune responses, neuroinvasion, and immunotherapeutic implications. Pathogens 8:193. doi: 10.3390/pathogens8040193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ziegler U, Santos PD, Groschup MH, Hattendorf C, Eiden M, Höper D, Eisermann P, Keller M, Michel F, Klopfleisch R, Müller K, Werner D, Kampen H, Beer M, Frank C, Lachmann R, Tews BA, Wylezich C, Rinder M, Lachmann L, Grünewald T, Szentiks CA, Sieg M, Schmidt-Chanasit J, Cadar D, Lühken R. 2020. West Nile Virus epidemic in Germany triggered by epizootic emergence, 2019. Viruses 12:448. doi: 10.3390/v12040448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Domanović D, Gossner CM, Lieshout-Krikke R, Mayr W, Baroti-Toth K, Dobrota AM, Escoval MA, Henseler O, Jungbauer C, Liumbruno G, Oyonarte S, Politis C, Sandid I, Vidović MS, Young JJ, Ushiro-Lumb I, Nowotny N. 2019. West Nile and Usutu virus infections and challenges to blood safety in the European Union. Emerg Infect Dis 25:1050–1057. doi: 10.3201/eid2506.181755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lanciotti RS, Roehrig JT, Deubel V, Smith J, Parker M, Steele K, Crise B, Volpe KE, Crabtree MB, Scherret JH, Hall RA, MacKenzie JS, Cropp CB, Panigrahy B, Ostlund E, Schmitt B, Malkinson M, Banet C, Weissman J, Komar N, Savage HM, Stone W, McNamara T, Gubler DJ. 1999. Origin of the West Nile virus responsible for an outbreak of encephalitis in the northeastern United States. Science 286:2333–2337. doi: 10.1126/science.286.5448.2333. [DOI] [PubMed] [Google Scholar]
- 8.Linke S, Mackay WG, Scott C, Wallace P, Niedrig M. 2011. Second external quality assessment of the molecular diagnostic of West Nile virus: are there improvements towards the detection of WNV? J Clin Virol 52:257–260. doi: 10.1016/j.jcv.2011.08.010. [DOI] [PubMed] [Google Scholar]
- 9.Baylis SA, Hanschmann K-MO, Schnierle BS, Trösemeier J-H, Blümel J, Zika Virus Collaborative Study Group . 2017. Harmonization of nucleic acid testing for Zika virus: development of the 1st World Health Organization International Standard. Transfusion 57:748–761. doi: 10.1111/trf.14026. [DOI] [PubMed] [Google Scholar]
- 10.Roth H, Schneider L, Eberle R, Lausen J, Modlich U, Blümel J, Baylis SA. 2020. Zika virus infection studies with CD34+ hematopoietic and megakaryocyte-erythroid progenitors, red blood cells and platelets. Transfusion 60:561–574. doi: 10.1111/trf.15692. [DOI] [PubMed] [Google Scholar]
- 11.Levin JZ, Yassour M, Adiconis X, Nusbaum C, Thompson DA, Friedman N, Gnirke A, Regev A. 2010. Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nat Methods 7:709–715. doi: 10.1038/nmeth.1491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Brown RJP, Tegtmeyer B, Sheldon J, Khera T, Anggakusuma, Todt D, Vieyres G, Weller R, Joecks S, Zhang Y, Sake S, Bankwitz D, Welsch K, Ginkel C, Engelmann M, Gerold G, Steinmann E, Yuan Q, Ott M, Vondran FWR, Krey T, Ströh LJ, Miskey C, Ivics Z, Herder V, Baumgärtner W, Lauber C, Seifert M, Tarr AW, McClure CP, Randall G, Baktash Y, Ploss A, Thi VLD, Michailidis E, Saeed M, Verhoye L, Meuleman P, Goedecke N, Wirth D, Rice CM, Pietschmann T. 2020. Liver-expressed Cd302 and Cr1l limit hepatitis C virus cross-species transmission to mice. Sci Adv 6:eabd3233. doi: 10.1126/sciadv.abd3233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hörner C, Schürmann C, Auste A, Ebenig A, Muraleedharan S, Dinnon KH, III, Scholz T, Herrmann M, Schnierle BS, Baric RS, Mühlebach MD. 2020. A highly immunogenic and effective measles virus-based Th1-biased COVID-19 vaccine. Proc Natl Acad Sci USA 117:32657–32666. doi: 10.1073/pnas.2014468117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chen S, Zhou Y, Chen Y, Gu J. 2018. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34:i884–i890. doi: 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Li H, Durbin R. 2009. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25:1754–1760. doi: 10.1093/bioinformatics/btp324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup . 2009. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25:2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Quinlan AR, Hall IM. 2010. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26:841–842. doi: 10.1093/bioinformatics/btq033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA. 2010. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20:1297–1303. doi: 10.1101/gr.107524.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wilm A, Aw PPK, Bertrand D, Yeo GHT, Ong SH, Wong CH, Khor CC, Petric R, Hibberd ML, Nagarajan N. 2012. LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets. Nucleic Acids Res 40:11189–11201. doi: 10.1093/nar/gks918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kempster SL, Minhas R, Hockley JG, Morris CL. 2020. A collaborative study to evaluate the proposed 1st WHO International Standard for West Nile Virus (WNV) RNA for Nucleic Acid Amplification Techniques (NAT). Report WHO/BS/2020.2397. World Health Organization, Geneva, Switzerland. [Google Scholar]
- 21.Baylis SA, Wallace P, McCulloch E, Niesters HGM, Nübling CM. 2019. Standardization of nucleic acid tests: the approach of the World Health Organization. J Clin Microbiol 57:e01056-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Data Availability Statement
The sequences of strains NY99 and Héja reported here have been deposited in GenBank under the accession numbers MZ605381 and MZ605382, respectively. The sequencing read data have been deposited in the NCBI SRA under accession number PRJNA759393. The reference materials are available from the Paul-Ehrlich-Institut (https://www.pei.de).